متابعة
Akbar Siami Namin
Akbar Siami Namin
Professor of Computer Science, Texas Tech University
بريد إلكتروني تم التحقق منه على ttu.edu - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
A comparison of ARIMA and LSTM in forecasting time series‏
S Siami-Namini, N Tavakoli, AS Namin‏
2018 17th IEEE international conference on machine learning and applications …, 2018‏
15032018
The performance of LSTM and BiLSTM in forecasting time series‏
S Siami-Namini, N Tavakoli, AS Namin‏
2019 IEEE International conference on big data (Big Data), 3285-3292, 2019‏
13502019
Using mutation analysis for assessing and comparing testing coverage criteria‏
JH Andrews, LC Briand, Y Labiche, AS Namin‏
IEEE Transactions on Software Engineering 32 (8), 608-624, 2006‏
6572006
Forecasting economics and financial time series: ARIMA vs. LSTM‏
S Siami-Namini, AS Namin‏
arXiv preprint arXiv:1803.06386, 2018‏
3652018
Sufficient mutation operators for measuring test effectiveness‏
A Siami Namin, JH Andrews, DJ Murdoch‏
Proceedings of the 30th international conference on Software engineering …, 2008‏
2702008
The influence of size and coverage on test suite effectiveness‏
AS Namin, JH Andrews‏
Proceedings of the eighteenth international symposium on Software testing …, 2009‏
2092009
A comparative analysis of forecasting financial time series using arima, lstm, and bilstm‏
S Siami-Namini, N Tavakoli, AS Namin‏
arXiv preprint arXiv:1911.09512, 2019‏
1522019
Detecting phishing websites through deep reinforcement learning‏
M Chatterjee, AS Namin‏
2019 IEEE 43rd annual computer software and applications conference (COMPSAC …, 2019‏
1252019
Predicting vulnerable software components through n-gram analysis and statistical feature selection‏
Y Pang, X Xue, AS Namin‏
2015 IEEE 14th International Conference on Machine Learning and Applications …, 2015‏
1132015
The core cyber-defense knowledge, skills, and abilities that cybersecurity students should learn in school: Results from interviews with cybersecurity professionals‏
KS Jones, AS Namin, ME Armstrong‏
ACM Transactions on Computing Education (TOCE) 18 (3), 1-12, 2018‏
1122018
A survey on the moving target defense strategies: An architectural perspective‏
J Zheng, AS Namin‏
Journal of Computer Science and Technology 34, 207-233, 2019‏
1092019
The use of mutation in testing experiments and its sensitivity to external threats‏
AS Namin, S Kakarla‏
Proceedings of the 2011 International Symposium on Software Testing and …, 2011‏
982011
Can machine/deep learning classifiers detect zero-day malware with high accuracy?‏
F Abri, S Siami-Namini, MA Khanghah, FM Soltani, AS Namin‏
2019 IEEE international conference on big data (Big Data), 3252-3259, 2019‏
762019
Forecasting economics and financial time series: ARIMA vs‏
S Siami-Namini, AS Namin‏
LSTM. arXiv 1803, 2018‏
702018
An autoencoder-based deep learning approach for clustering time series data‏
N Tavakoli, S Siami-Namini, M Adl Khanghah, F Mirza Soltani, ...‏
SN Applied Sciences 2, 1-25, 2020‏
642020
A survey of privacy concerns in wearable devices‏
P Datta, AS Namin, M Chatterjee‏
2018 IEEE international conference on big data (big data), 4549-4553, 2018‏
602018
Forecasting economic and financial time series: Arima vs. LSTM‏
SS Namin, AS Namin‏
arXiv preprint arXiv:1803.06386, 2018‏
602018
A comparison of TCN and LSTM models in detecting anomalies in time series data‏
S Gopali, F Abri, S Siami-Namini, AS Namin‏
2021 IEEE International Conference on Big Data (Big Data), 2415-2420, 2021‏
542021
How social engineers use persuasion principles during vishing attacks‏
KS Jones, ME Armstrong, MKK Tornblad, A Siami Namin‏
Information & Computer Security 29 (2), 314-331, 2021‏
532021
Finding sufficient mutation operators via variable reduction‏
AS Namin, JH Andrews‏
Second Workshop on Mutation Analysis (Mutation 2006-ISSRE Workshops 2006), 5-5, 2006‏
522006
يتعذر على النظام إجراء العملية في الوقت الحالي. عاود المحاولة لاحقًا.
مقالات 1–20